A semantic embedding methodology for motor vehicle crash records: A case study of traffic safety in Manhattan Borough of New York City

Author:

Wang Yuxuan1ORCID,Xiong Ruoxin2,Yu Hao1ORCID,Bao Jie3,Yang Zhao3

Affiliation:

1. Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing, China

2. School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai, China

3. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Natural Science Foundation of China

the National Key Research and Development Program of China

China Doctoral Science Foundation

Publisher

Informa UK Limited

Subject

Safety Research,Transportation

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploring topics and trends in Chinese ATC incident reports using a domain-knowledge driven topic model;Journal of Air Transport Management;2023-05

2. Modeling spatial spillover effect on intersection crash propensity: a case study at the county level in Ohio;Journal of Transportation Safety & Security;2022-10-11

3. Examining the Factors Affecting Single-Vehicle Motorcycle Crashes Using Association Rules Mining: Case Study of Japan;2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC);2022-10-08

4. Cluster Analysis on Sustainable Transportation: The Case of New York City Open Data;2022 International Conference on Applied Artificial Intelligence (ICAPAI);2022-05-05

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